computeAuc

A prediction object as generated using the
<code><a rd-options="" href="/link/predict?package=PatientLevelPrediction&version=3.0.0" data-mini-rdoc="PatientLevelPrediction::predict">predict</a></code> functions.

prediction

Should 95 percebt confidence intervals be computed?

confidenceInterval

Compute the area under the ROC curve

A package for creating patient level prediction models. Given a
cohort of interest and an outcome of interest, the package can use data in the
OMOP Common Data Model to build a large set of features. These features can then
be assessed to fit a predictive model using a number of machine learning algorithms.
Several performance measures are implemented for model evaluation.

Jenna Reps

PatientLevelPrediction

Package for patient level prediction using data in the OMOP Common Data
Model

computeAuc function

A prediction object as generated using the
<code><a rd-options='' href='predict'>predict</a></code> functions.

computeAuc: Compute the area under the ROC curve

Description

Usage

Arguments

Details